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Engineering

    • Artificial intelligence in energy and renewable energy systems
    • Artificial intelligence technology
    • Present applications of artificial intelligence to energy systems
    • Artificial neural networks for energy and renewable energy applications
    • Artificial neural networks in solar thermal energy systems
    • Genetic algorithms for the optimization of solar thermal systems
    • Artificial neural networks applied in PV systems and solar radiation
    • Application of control algorithms for wind speed prediction and active power generation
    • Neuro-fuzzy Hammerstein model based predictive control of a solid oxide fuel cell
    • The application of fuzzy systems to control and modeling of building systems
    • Computational intelligence techniques to architectural and building acoustics
    • Active learning strategies for the neural estimation of engine maps
    • The application of artificial intelligence techniques in combustion systems
    • Learning control of fluidized-bed combustion processes for power plants
    • Application of artificial intelligence techniques for the reduction of energy consumption
    • Possible, existing, and potential applications of artificial intelligence in energy systems
    • Process monitoring, control, scheduling and planning
    • Fault diagnostics and maintenance

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